Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies

Anwar, Nadia and Hunt, Ela (2009) Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies. BMC Bioinformatics, 10 (Suppl ).

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    Abstract

    This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world, using multiple technologies, perform experiments to understand the mechanism of virulence. It is hard to integrate these data sources in a flexible manner that allows new experimental data to be added and compared when required.

    Author(s):Anwar, Nadia and Hunt, Ela
    Item type:Article
    ID code:18916
    Keywords:francisella tularensis novicida, proteomic, transcriptomic, semantic web technologies, Electronic computers. Computer science, Microbiology, Biochemistry, Molecular Biology, Computer Science Applications
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Science > Microbiology
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Strathprints Administrator
    Date deposited:18 Jun 2010 10:33
    Last modified:05 Jun 2019 00:46
    URI:https://strathprints.strath.ac.uk/id/eprint/18916
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